The global GIS data collector market is experiencing robust growth, driven by increasing adoption of precision agriculture, expanding infrastructure development projects, and the rising demand for accurate geospatial data across various industries. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $4.2 billion by 2033. Key drivers include the increasing availability of affordable and high-precision GPS technology, coupled with advancements in data processing and cloud-based solutions. The integration of GIS data collectors with other technologies, such as drones and IoT sensors, is further fueling market expansion. The demand for high-precision GIS data collectors is particularly strong in sectors like surveying, mapping, and construction, where accuracy is paramount. While the market faces challenges such as high initial investment costs and the need for specialized expertise, the overall growth trajectory remains positive. The market is segmented by application (agriculture, industrial, forestry, and others) and by type (general precision and high precision). North America and Europe currently hold significant market shares, but the Asia-Pacific region is anticipated to experience rapid growth in the coming years due to substantial infrastructure development and increasing government investments in geospatial technologies. The competitive landscape is characterized by both established players like Trimble, Garmin, and Hexagon (Leica Geosystems) and emerging companies offering innovative solutions. These companies are constantly innovating, integrating advanced technologies like AI and machine learning to enhance data collection and analysis capabilities. This competition is driving down prices and improving product quality, benefiting end-users. The increasing use of mobile GIS and cloud-based data management solutions is also transforming the industry, making data collection and analysis more accessible and efficient. Future growth will be largely influenced by the advancement of 5G networks, enabling faster data transmission and real-time applications, and the increasing adoption of automation and AI in data processing workflows. Furthermore, government regulations promoting the use of accurate geospatial data for sustainable development and environmental monitoring are creating new opportunities for the market’s expansion.

Geographic Information System (GIS) Market Outlook

The global Geographic Information System (GIS) market size was valued at approximately USD 8.1 billion in 2023 and is projected to reach around USD 16.3 billion by 2032, growing at a CAGR of 8.2% during the forecast period. One of the key growth factors driving this market is the increasing adoption of GIS technology across various industries such as agriculture, construction, and transportation, which is enhancing operational efficiencies and enabling better decision-making capabilities.

Several factors are contributing to the robust growth of the GIS market. Firstly, the increasing need for spatial data in urban planning, infrastructure development, and natural resource management is accelerating the demand for GIS solutions. For instance, governments and municipalities globally are increasingly relying on GIS for planning and managing urban sprawl, transportation systems, and utility networks. This growing reliance on spatial data for efficient resource allocation and policy-making is significantly propelling the GIS market.

Secondly, the advent of advanced technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and machine learning is enhancing the capabilities of GIS systems. The integration of these technologies with GIS allows for real-time data analysis and predictive analytics, making GIS solutions more powerful and valuable. For example, AI-powered GIS can predict traffic patterns and help in effective city planning, while IoT-enabled GIS can monitor and manage utilities like water and electricity in real time, thus driving market growth.

Lastly, the rising focus on disaster management and environmental monitoring is further boosting the GIS market. Natural disasters like floods, hurricanes, and earthquakes necessitate the need for accurate and real-time spatial data to facilitate timely response and mitigation efforts. GIS technology plays a crucial role in disaster risk assessment, emergency response, and recovery planning, thereby increasing its adoption in disaster management agencies. Moreover, environmental monitoring for issues like deforestation, pollution, and climate change is becoming increasingly vital, and GIS is instrumental in tracking and addressing these challenges.

Regionally, the North American market is expected to hold a significant share due to the widespread adoption of advanced technologies and substantial investments in infrastructure development. Asia Pacific is anticipated to witness the fastest growth, driven by rapid urbanization, industrialization, and supportive government initiatives for smart city projects. Additionally, Europe is expected to show steady growth due to stringent regulations on environmental management and urban planning.

Component Analysis

The GIS market by component is segmented into hardware, software, and services. The hardware segment includes devices like GPS, imaging sensors, and other data capture devices. These tools are critical for collecting accurate spatial data, which forms the backbone of GIS solutions. The demand for advanced hardware components is rising, as organizations seek high-precision instruments for data collection. The advent of technologies such as LiDAR and drones has further enhanced the capabilities of GIS hardware, making data collection faster and more accurate.

In the software segment, GIS platforms and applications are used to store, analyze, and visualize spatial data. GIS software has seen significant advancements, with features like 3D mapping, real-time data integration, and cloud-based collaboration becoming increasingly prevalent. Companies are investing heavily in upgrading their GIS software to leverage these advanced features, thereby driving the growth of the software segment. Open-source GIS software is also gaining traction, providing cost-effective solutions for small and medium enterprises.

The services segment encompasses various professional services such as consulting, integration, maintenance, and training. As GIS solutions become more complex and sophisticated, the need for specialized services to implement and manage these systems is growing. Consulting services assist organizations in selecting the right GIS solutions and integrating them with existing systems. Maintenance and support services ensure that GIS systems operate efficiently and remain up-to-date with the latest technological advancements. Training services are also crucial, as they help users maximize the potential of GIS technologies.

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Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector,

Geographic Information System (GIS) Software Market Outlook

The global Geographic Information System (GIS) software market size is projected to grow from USD 9.1 billion in 2023 to USD 18.5 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.5% over the forecast period. This growth is driven by the increasing application of GIS software across various sectors such as agriculture, construction, transportation, and utilities, along with the rising demand for location-based services and advanced mapping solutions.

One of the primary growth factors for the GIS software market is the widespread adoption of spatial data by various industries to enhance operational efficiency. In agriculture, for instance, GIS software plays a crucial role in precision farming by aiding in crop monitoring, soil analysis, and resource management, thereby optimizing yield and reducing costs. In the construction sector, GIS software is utilized for site selection, design and planning, and infrastructure management, making project execution more efficient and cost-effective.

Additionally, the integration of GIS with emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) is significantly enhancing the capabilities of GIS software. AI-driven data analytics and IoT-enabled sensors provide real-time data, which, when combined with spatial data, results in more accurate and actionable insights. This integration is particularly beneficial in fields like smart city planning, disaster management, and environmental monitoring, further propelling the market growth.

Another significant factor contributing to the market expansion is the increasing government initiatives and investments aimed at improving geospatial infrastructure. Governments worldwide are recognizing the importance of GIS in policy-making, urban planning, and public safety, leading to substantial investments in GIS technologies. For example, the U.S. governmentÂ’s Geospatial Data Act emphasizes the development of a cohesive national geospatial policy, which in turn is expected to create more opportunities for GIS software providers.

Geographic Information System Analytics is becoming increasingly pivotal in transforming raw geospatial data into actionable insights. By employing sophisticated analytical tools, GIS Analytics allows organizations to visualize complex spatial relationships and patterns, enhancing decision-making processes across various sectors. For instance, in urban planning, GIS Analytics can identify optimal locations for new infrastructure projects by analyzing population density, traffic patterns, and environmental constraints. Similarly, in the utility sector, it aids in asset management by predicting maintenance needs and optimizing resource allocation. The ability to integrate GIS Analytics with other data sources, such as demographic and economic data, further amplifies its utility, making it an indispensable tool for strategic planning and operational efficiency.

Regionally, North America holds the largest share of the GIS software market, driven by technological advancements and high adoption rates across various sectors. Europe follows closely, with significant growth attributed to the increasing use of GIS in environmental monitoring and urban planning. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by rapid urbanization, infrastructure development, and government initiatives in countries like China and India.

Component Analysis

The GIS software market is segmented into software and services, each playing a vital role in meeting the diverse needs of end-users. The software segment encompasses various types of GIS software, including desktop GIS, web GIS, and mobile GIS. Desktop GIS remains the most widely used, offering comprehensive tools for spatial analysis, data management, and visualization. Web GIS, on the other hand, is gaining traction due to its accessibility and ease of use, allowing users to access GIS capabilities through a web browser without the need for extensive software installations.

Mobile GIS is another crucial aspect of the software segment, providing field-based solutions for data collection, asset management, and real-time decision making. With the increasing use of smartphones and tablets, mobile GIS applications are becoming indispensable for sectors such as utilities, transportation, and

This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

Features related to provincially tracked species and species at risk are not available as open data. Sensitive features are subject to licensing and approvals. Visit the Ontario Ministry of Natural Resources and Forestry website to get access to natural heritage information.A station set up by biologists and technicians for the purpose of capturing information about one or more species. A data capture station collects or captures species data using a variety of different tools including remote cameras, hair snares, live traps, nets etc. Species Data Capture Stations are mapped as point locations with one point representing each station type. By extension, net drops from aircraft and chemical immobilization (dart) animal capture event points are included in this data class. Note: Fish-specific survey information (e.g. Creel Census) should be stored in the Aquatic Resource Area Survey Point data class.

Additional Documentation

Species Data Capture Station - Data Description (PDF)

Species Data Capture Station - Documentation (Word)

Status

Planned: Fixed date has been established upon or by which the data will be created or updated

Maintenance and Update Frequency

Not Stated

Contact

Peter Sorrill, Natural Heritage Information Centre, peter.sorrill@ontario.ca

Initial Data Capture: Building were originally digitized using ESRI construction tools such as rectangle and polygon. Textron Feature Analyst was then used to digitize buildings using a semi-automated polygon capture tool as well as a fully automated supervised learning method. The method that proved to be most effective was the semi-automated polygon capture tool as the fully automated process produced polygons that required extensive cleanup. This tool increased the speed and accuracy of digitizing by 40%.Purpose of Data Created: To supplement our GIS viewers with a searchable feature class of structures within Ventura County that can aid in analysis for multiple agencies and the public at large.Types of Data Used: Aerial Imagery (Pictometry 2015, 9inch ortho/oblique, Pictometry 2018, 6inch ortho/oblique) Simi Valley Lidar Data (Q2 Harris Corp Lidar) Coverage of Data:Buildings have been collected from the aerial imageries extent. The 2015 imagery coverage the south county from the north in Ojai to the south in thousand oaks, to the east in Simi Valley, and to the West in the county line with Santa Barbara. Lockwood Valley was also captured in the 2015 imagery. To collect buildings for the wilderness areas we needed to use the imagery from 2007 when we last flew aerial imagery for the entire county. 2018 Imagery was used to capture buildings that were built after 2015.Schema: Fields: APN, Image Date, Image Source, Building Type, Building Description, Address, City, Zip, Data Source, Parcel Data (Year Built, Basement yes/no, Number of Floors) Zoning Data (Main Building, Out Building, Garage), First Floor Elevation, Rough Building Height, X/Y Coordinates, Dimensions. Confidence Levels/Methods:Address data: 90% All Buildings should have an address if they appear to be a building that would normally need an address (Main Residence). To create an address, we do a spatial join on the parcels from the centroid of a building polygon and extract the address data and APN. To collect the missing addresses, we can do a spatial join between the master address and the parcels and then the parcels back to the building polygons. Using a summarize to the APN field we will be able to identify the parcels that have multiple buildings and delete the address information for the buildings that are not a main residence.Building Type Data: 99% All buildings should have a building type according to the site use category code provided from the parcel table information. To further classify multiple buildings on parcels in residential areas, the shape area field was used to identify building polygons greater than 600 square feet as an occupied residence and all other buildings less than that size as outbuildings. All parcels, inparticular parcels with multiple buildings, are subject to classification error. Further defining could be possible with extensive quality control APN Data: 98% All buildings have received APN data from their associated parcel after a spatial join was performed. Building overlapping parcel lines had their centroid derived which allowed for an accurate spatial join.Troubleshooting Required: Buildings would sometimes overlap parcel lines making spatial joining inaccurate. To fix this you create a point from the centroid of the building polygon, join the parcel information to the point, then join the point with the parcel information back to the building polygon.

The global field data collection software market is experiencing robust growth, driven by increasing demand for efficient data management and analysis across various industries. The market's expansion is fueled by several key factors: the rising adoption of mobile technologies and cloud-based solutions, the need for real-time data insights to improve operational efficiency, and the increasing pressure to comply with stringent regulatory standards in sectors like environmental monitoring and construction. The market is segmented by application (environmental, construction, oil and gas, transportation, mining, and others) and deployment type (cloud-based and on-premises). Cloud-based solutions are witnessing higher adoption rates due to their scalability, cost-effectiveness, and accessibility. While North America currently holds a significant market share due to early adoption and technological advancements, regions like Asia-Pacific are projected to experience substantial growth in the coming years, driven by rapid industrialization and infrastructure development. The competitive landscape includes established players like SafetyCulture and ArcGIS alongside emerging innovative companies continuously improving the software functionalities and user experience. Competition is intense, focused on providing superior data visualization, integration capabilities, and user-friendly interfaces. The market is anticipated to continue its upward trajectory, driven by ongoing technological innovation and the increasing reliance on data-driven decision-making across diverse industries. Despite the positive market outlook, certain challenges remain. The high initial investment required for implementing some solutions, particularly in the on-premises segment, and the need for specialized training to effectively utilize the software can act as restraints. Further, data security and privacy concerns remain a priority for organizations, particularly in regulated industries. Overcoming these challenges will require a focus on developing more user-friendly, affordable, and secure solutions with seamless integration capabilities, emphasizing the value proposition through clear ROI demonstrations and providing robust training and support services to users. The long-term forecast suggests continued market expansion, driven by a sustained focus on addressing these constraints and leveraging technological advancements to enhance data collection and management capabilities. The predicted CAGR will likely be influenced by economic conditions, technological innovation, and the evolving regulatory landscape.

Geographic Information System (GIS) Tools Market Outlook

The global Geographic Information System (GIS) Tools market is poised for significant expansion, with a projected market size of approximately $15.2 billion in 2023, anticipated to reach $28.6 billion by 2032, reflecting a compound annual growth rate (CAGR) of 7.3%. This growth can be attributed to the increasing integration of advanced GIS technologies across various sectors such as agriculture, transportation, and government services, driven by the need for efficient data management and spatial analysis capabilities. The adoption of GIS tools is further influenced by the growing demand for real-time geographic data, which plays a crucial role in decision-making processes across multiple industries.

One of the primary growth factors for the GIS Tools market is the burgeoning demand for high-precision mapping and spatial data analytics. Industries such as agriculture and construction are increasingly relying on GIS technology to optimize resource management and streamline operations. The ability of GIS tools to provide detailed insights into geographical patterns and trends allows companies to make informed decisions, thereby improving operational efficiency and reducing costs. Additionally, advancements in remote sensing technology and data collection methods have significantly enhanced the accuracy and reliability of GIS data, further fueling its adoption across various sectors.

The increasing deployment of GIS tools in urban planning and smart city projects is another key driver of market growth. Governments worldwide are leveraging GIS technology to enhance infrastructure planning, improve public services, and manage environmental resources more effectively. The integration of GIS in smart city initiatives enables authorities to monitor and manage urban environments in real-time, leading to better resource allocation and improved quality of life for residents. As cities continue to expand and evolve, the demand for advanced GIS solutions is expected to grow exponentially, providing significant opportunities for market players.

Furthermore, the rise of location-based services and telematics has expanded the application of GIS tools in the transportation and logistics sectors. Companies are utilizing GIS technology to optimize route planning, track assets, and enhance supply chain management. The integration of GIS with telematics systems allows for real-time monitoring and analysis of vehicle movements, improving fleet efficiency and reducing operational costs. As the transportation industry continues to embrace digital transformation, the demand for GIS tools is likely to increase, further driving market growth.

In terms of regional outlook, North America currently leads the GIS Tools market, driven by high adoption rates of advanced technologies and significant investments in infrastructure development. The presence of major GIS solution providers and a well-established IT infrastructure further contribute to the region's dominance. However, the Asia Pacific region is expected to witness the highest growth during the forecast period, driven by rapid urbanization, increasing government initiatives for infrastructure development, and the growing adoption of GIS technology in emerging economies such as China and India. Europe and the Middle East & Africa regions are also expected to experience steady growth, supported by advancements in GIS applications and the rising need for efficient spatial data management solutions.

The role of a Gis Data Collector is increasingly becoming pivotal in the GIS Tools market. These professionals are responsible for gathering, verifying, and maintaining the spatial data that forms the backbone of GIS applications. With the growing emphasis on high-precision mapping and real-time data analysis, the demand for skilled Gis Data Collectors is on the rise. They play a crucial role in ensuring the accuracy and reliability of geospatial information, which is essential for effective decision-making across various sectors. As industries continue to leverage advanced GIS technologies, the expertise of Gis Data Collectors will be indispensable in facilitating seamless data integration and enhancing the overall quality of GIS solutions.

Component Analysis

The GIS Tools market can be segmented by component into software, hardware, and services, each playing a vital role in the overall market dynamics. The software segment is expected to hold the largest market

A major objective of plant ecology research is to determine the underlying processes responsible for the observed spatial distribution patterns of plant species. Plants can be approximated as points in space for this purpose, and thus, spatial point pattern analysis has become increasingly popular in ecological research. The basic piece of data for point pattern analysis is a point location of an ecological object in some study region. Therefore, point pattern analysis can only be performed if data can be collected. However, due to the lack of a convenient sampling method, a few previous studies have used point pattern analysis to examine the spatial patterns of grassland species. This is unfortunate because being able to explore point patterns in grassland systems has widespread implications for population dynamics, community-level patterns and ecological processes. In this study, we develop a new method to measure individual coordinates of species in grassland communities. This method records plant growing positions via digital picture samples that have been sub-blocked within a geographical information system (GIS). Here, we tested out the new method by measuring the individual coordinates of Stipa grandis in grazed and ungrazed S. grandis communities in a temperate steppe ecosystem in China. Furthermore, we analyzed the pattern of S. grandis by using the pair correlation function g(r) with both a homogeneous Poisson process and a heterogeneous Poisson process. Our results showed that individuals of S. grandis were overdispersed according to the homogeneous Poisson process at 0-0.16 m in the ungrazed community, while they were clustered at 0.19 m according to the homogeneous and heterogeneous Poisson processes in the grazed community. These results suggest that competitive interactions dominated the ungrazed community, while facilitative interactions dominated the grazed community. In sum, we successfully executed a new sampling method, using digital photography and a Geographical Information System, to collect experimental data on the spatial point patterns for the populations in this grassland community.

Methods 1. Data collection using digital photographs and GIS

A flat 5 m x 5 m sampling block was chosen in a study grassland community and divided with bamboo chopsticks into 100 sub-blocks of 50 cm x 50 cm (Fig. 1). A digital camera was then mounted to a telescoping stake and positioned in the center of each sub-block to photograph vegetation within a 0.25 m2 area. Pictures were taken 1.75 m above the ground at an approximate downward angle of 90° (Fig. 2). Automatic camera settings were used for focus, lighting and shutter speed. After photographing the plot as a whole, photographs were taken of each individual plant in each sub-block. In order to identify each individual plant from the digital images, each plant was uniquely marked before the pictures were taken (Fig. 2 B).

Digital images were imported into a computer as JPEG files, and the position of each plant in the pictures was determined using GIS. This involved four steps: 1) A reference frame (Fig. 3) was established using R2V software to designate control points, or the four vertexes of each sub-block (Appendix S1), so that all plants in each sub-block were within the same reference frame. The parallax and optical distortion in the raster images was then geometrically corrected based on these selected control points; 2) Maps, or layers in GIS terminology, were set up for each species as PROJECT files (Appendix S2), and all individuals in each sub-block were digitized using R2V software (Appendix S3). For accuracy, the digitization of plant individual locations was performed manually; 3) Each plant species layer was exported from a PROJECT file to a SHAPE file in R2V software (Appendix S4); 4) Finally each species layer was opened in Arc GIS software in the SHAPE file format, and attribute data from each species layer was exported into Arc GIS to obtain the precise coordinates for each species. This last phase involved four steps of its own, from adding the data (Appendix S5), to opening the attribute table (Appendix S6), to adding new x and y coordinate fields (Appendix S7) and to obtaining the x and y coordinates and filling in the new fields (Appendix S8).

1. Data reliability assessment

To determine the accuracy of our new method, we measured the individual locations of Leymus chinensis, a perennial rhizome grass, in representative community blocks 5 m x 5 m in size in typical steppe habitat in the Inner Mongolia Autonomous Region of China in July 2010 (Fig. 4 A). As our standard for comparison, we used a ruler to measure the individual coordinates of L. chinensis. We tested for significant differences between (1) the coordinates of L. chinensis, as measured with our new method and with the ruler, and (2) the pair correlation function g of L. chinensis, as measured with our new method and with the ruler (see section 3.2 Data Analysis). If (1) the coordinates of L. chinensis, as measured with our new method and with the ruler, and (2) the pair correlation function g of L. chinensis, as measured with our new method and with the ruler, did not differ significantly, then we could conclude that our new method of measuring the coordinates of L. chinensis was reliable.

We compared the results using a t-test (Table 1). We found no significant differences in either (1) the coordinates of L. chinensis or (2) the pair correlation function g of L. chinensis. Further, we compared the pattern characteristics of L. chinensis when measured by our new method against the ruler measurements using a null model. We found that the two pattern characteristics of L. chinensis did not differ significantly based on the homogenous Poisson process or complete spatial randomness (Fig. 4 B). Thus, we concluded that the data obtained using our new method was reliable enough to perform point pattern analysis with a null model in grassland communities.

Snapshot img

GIS Market Size 2025-2029

The GIS market size is forecast to increase by USD 24.07 billion, at a CAGR of 20.3% between 2024 and 2029.

The Global Geographic Information System (GIS) market is experiencing significant growth, driven by the increasing integration of Building Information Modeling (BIM) and GIS technologies. This convergence enables more effective spatial analysis and decision-making in various industries, particularly in soil and water management. However, the market faces challenges, including the lack of comprehensive planning and preparation leading to implementation failures of GIS solutions. Companies must address these challenges by investing in thorough project planning and collaboration between GIS and BIM teams to ensure successful implementation and maximize the potential benefits of these advanced technologies.
By focusing on strategic planning and effective implementation, organizations can capitalize on the opportunities presented by the growing adoption of GIS and BIM technologies, ultimately driving operational efficiency and innovation.

What will be the Size of the GIS Market during the forecast period?

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The global Geographic Information Systems (GIS) market continues to evolve, driven by the increasing demand for advanced spatial data analysis and management solutions. GIS technology is finding applications across various sectors, including natural resource management, urban planning, and infrastructure management. The integration of Bing Maps, terrain analysis, vector data, Lidar data, and Geographic Information Systems enables precise spatial data analysis and modeling. Hydrological modeling, spatial statistics, spatial indexing, and route optimization are essential components of GIS, providing valuable insights for sectors such as public safety, transportation planning, and precision agriculture. Location-based services and data visualization further enhance the utility of GIS, enabling real-time mapping and spatial analysis.

The ongoing development of OGC standards, spatial data infrastructure, and mapping APIs continues to expand the capabilities of GIS, making it an indispensable tool for managing and analyzing geospatial data. The continuous unfolding of market activities and evolving patterns in the market reflect the dynamic nature of this technology and its applications.

How is this GIS Industry segmented?

The GIS industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Software
  Data
  Services


Type

  Telematics and navigation
  Mapping
  Surveying
  Location-based services


Device

  Desktop
  Mobile


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.

The Global Geographic Information System (GIS) market encompasses a range of applications and technologies, including raster data, urban planning, geospatial data, geocoding APIs, GIS services, routing APIs, aerial photography, satellite imagery, GIS software, geospatial analytics, public safety, field data collection, transportation planning, precision agriculture, OGC standards, location intelligence, remote sensing, asset management, network analysis, spatial analysis, infrastructure management, spatial data standards, disaster management, environmental monitoring, spatial modeling, coordinate systems, spatial overlay, real-time mapping, mapping APIs, spatial join, mapping applications, smart cities, spatial data infrastructure, map projections, spatial databases, natural resource management, Bing Maps, terrain analysis, vector data, Lidar data, and geographic information systems.

The software segment includes desktop, mobile, cloud, and server solutions. Open-source GIS software, with its industry-specific offerings, poses a challenge to the market, while the adoption of cloud-based GIS software represents an emerging trend. However, the lack of standardization and interoperability issues hinder the widespread adoption of cloud-based solutions. Applications in sectors like public safety, transportation planning, and precision agriculture are driving market growth. Additionally, advancements in technologies like remote sensing, spatial modeling, and real-time mapping are expanding the market's scope.

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The Software segment was valued at USD 5.06 billion in 2019

For full FGDC metadata record, please click here.These data represent Staging and Response Locations collected by GPS for Mississippi, Alabama, and the Florida Panhandle prior to the Deepwater Horizon Oil Spill. The locations for the Peninsular portion of Florida, Georgia, South Carolina, Puerto Rico, and the US Virgin Islands have been compiled from numerous sources into this database schema and will at some later date (after Nov. 2010) be verified and validated by GPS. Staging and response locations were identified first by defining the types of locations that fit these descriptions. The broad categories were defined as Boat Ramp, Marina, Staging Area, or any combination of these. A marina may contain a boat ramp as well as a large parking lot with a seawall suitable for deploying equipment into the water. A staging area may contain just a waterfront park with access to the water, but no boat ramp or marina, but perhaps a dock or pier. These categories and attributes were used to design a specific database schema to collect information on these geographic features that could be used on a GPS-enabled field data collection device. Once the categories of information to be collected and the specifics of what types of information to be collected within each category were determined (the database schema), mobile devices were programmed to accomplish this task and area committee volunteers were used to conduct the field surveys. Field crews were given training on the devices. Guided by base maps identifying potential locations, they then traveled into the field to validate and collect specific GPS and attribute data on those locations. This was a cooperative effort between many federal, state, and local entities guided by FWC-FWRI that resulted in detailed and location-specific information on 366 staging area locations within Sector Mobile and a comprehensive GIS data set that is available on the DVD ROM and website as well a being used in the Geographic Response Plan Map Atlas production. Cyber-Tracker was the software used for this field data collection. Cyber-Tracker is a "shareware" software package developed as a data-capture tool designed for use in Environmental Conservation, Wildlife Biology and Disaster Relief. The software runs on numerous types of mobile devices and designing custom data capture processes for these devices requires no programming experience. Funded in large part by the European Commission and patroned by Harvard University, Cyber-Tracker Software has been a very valuable tool in the data collection efforts of this project. Cyber-Tracker Software can be found on the Internet at: http://www.cybertracker.co.za/.

The Referrals Spatial Database - Public records locations of referrals submitted to the Department under the Environment Protection and Biodiversity Conservation (EPBC Act) 1999. A proponent (those …Show full descriptionThe Referrals Spatial Database - Public records locations of referrals submitted to the Department under the Environment Protection and Biodiversity Conservation (EPBC Act) 1999. A proponent (those who are proposing a development) must supply the maximum extent (location) of any proposed activities that need to be assessed under the EPBC Act through an application process. Referral boundaries should not be misinterpreted as development footprints but where referrals have been received by the Department. It should be noted that not all referrals captured within the Referrals Spatial Database, are assessed and approved by the Minister for the Environment, as some are withdrawn before assessment can take place. For more detailed information on a referral a URL is provided to the EPBC Act Public notices pages. Status and detailed planning documentation is available on the EPBC Act Public notices (http://epbcnotices.environment.gov.au/referralslist/). Post September 2019, this dataset is updated using a spatial data capture tool embedded within the Referral form on the department’s website. Users are able to supply spatial data in multiple formats, review spatial data online and submitted with the completed referral form automatically. Nightly processes update this dataset that are then available for internal staff to use (usually within 24 hours). Prior to September 2019, a manual process was employed to update this dataset. In the first instance where a proponent provides GIS data, this is loaded as the polygons for a referral. Where this doesn't exist other means to digitize boundaries are employed to provide a relatively accurate reflection of the maximum extent for which the referral may impact (it is not a development footprint). This sometimes takes the form of heads up digitizing planning documents, sourcing from other state databases (such as PSMA Australia) features and coordinates supplied through the application forms. Any variations to boundaries after the initial referral (i.e. during the assessment, approval or post-approval stages) are processed on an ad hoc basis through a manual update to the dataset. The REFERRALS_PUBLIC_MV layer is a materialized view that joins the spatial polygon data with the business data (e.g. name, case id, type etc.) about a referral. This layer is available for use by the public and is available via a web service and spatial data download. The data for the web service is updated weekly, while the data download is updated quarterly.

GIS Receiver Market Outlook

The global GIS Receiver market size is projected to experience significant growth, with a market valuation of approximately USD 1.5 billion in 2023, and is expected to reach around USD 3.2 billion by 2032, reflecting a robust CAGR of 8.7% during the forecast period. The growth of this market is driven primarily by increasing demand for precise and real-time location data across various industries such as agriculture, construction, and transportation. The advancements in Geographic Information System (GIS) technology have significantly enhanced the capability and accuracy of GIS receivers, further propelling market demand. Additionally, the integration of GIS receivers with IoT and AI technologies is creating new avenues for market expansion.

One of the primary growth factors in the GIS Receiver market is the escalating need for enhanced accuracy in location-based services. As industries like agriculture and construction increasingly adopt precision technologies, GIS receivers play a crucial role in providing accurate geospatial data, which is essential for optimizing resource management and improving operational efficiency. This trend is further augmented by government initiatives aimed at modernizing infrastructure and urban planning, which rely heavily on precise GIS data for decision-making processes. Moreover, the proliferation of smart cities and the need for advanced mapping solutions have spurred investment in high-accuracy GIS receivers, thus driving market growth.

The expanding application of GIS technology in the transportation sector is another significant growth driver. As the transportation industry evolves, with an increasing focus on developing intelligent and autonomous systems, the demand for real-time geospatial data has risen sharply. GIS receivers are pivotal in facilitating efficient traffic management, route optimization, and asset tracking, thereby enhancing overall operational efficiency. Additionally, the integration of GIS receivers in unmanned aerial vehicles (UAVs) and autonomous vehicles has opened new possibilities, providing real-time data essential for navigation and safety. This integration is instrumental in maintaining the momentum of growth within the GIS Receiver market.

Technological advancements in GIS receivers have transformed the way industries operate, making them indispensable tools for data collection and analysis. The advent of Real-Time Kinematic (RTK) technology has enabled high-precision positioning, crucial for applications where even minute inaccuracies can lead to significant issues. The ongoing development of robust, user-friendly GIS platforms paired with these receivers has made geospatial data more accessible and actionable for a broader range of end-users. Furthermore, the increasing reliance on post-processing technology to refine and improve data accuracy post-collection is enhancing the value proposition of GIS receivers, thus fueling market growth.

Regionally, North America holds a dominant position in the GIS Receiver market, driven by vast investments in technological innovation and the presence of major industry players. The Asia Pacific region is expected to witness the highest growth rate, attributed to rapid urbanization and the increasing adoption of GIS technology in emerging economies. Europe also presents significant opportunities, where government initiatives focused on sustainable development and infrastructure projects are supporting market expansion. Meanwhile, Latin America and the Middle East & Africa are gradually enhancing their GIS infrastructure, although their market shares remain comparatively modest but swiftly rising, indicating potential future growth.

Product Type Analysis

The GIS Receiver market can be segmented based on product type into Handheld GIS Receivers, Differential GIS Receivers, and Survey-Grade GIS Receivers. Each product type serves specific user needs and use-case scenarios, with their respective advantages and areas of application. Handheld GIS Receivers are largely used for field surveys, allowing for portability and ease of use. These receivers are particularly favored in sectors such as agriculture and forestry, where mobility and quick data collection are essential. The increasing demand for portable and versatile data collection tools is driving the growth of the Handheld GIS Receivers segment.

Differential GIS Receivers offer improved accuracy through the application of differential correction techniques. These receivers are extensively used in applications requiring higher precision than what standard GPS receivers can prov

GIS Software In Agriculture Market Outlook

The global GIS software in agriculture market size was valued at approximately USD 1.5 billion in 2023 and is projected to grow to USD 3.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.2% during the forecast period. The exponential growth in this market is primarily driven by the increasing adoption of precision farming techniques and the growing need for resource optimization in agriculture. The integration of GIS software into agricultural practices enables enhanced decision-making capabilities, significantly boosting productivity and efficiency.

One of the primary growth factors for the GIS software in agriculture market is the rising global population, which intensifies the demand for food production. With limited arable land available, farmers and agribusinesses are turning to advanced technologies like GIS software to maximize crop yields, optimize resource use, and ensure sustainable farming practices. GIS software facilitates detailed spatial analysis and mapping, allowing for better management of land resources, monitoring of crop health, and precision in irrigation practices. These capabilities are crucial to meeting the increasing food demands while maintaining ecological balance.

Another significant growth driver is the increasing awareness and implementation of precision farming techniques. Precision farming relies heavily on data collection and analysis, which can be efficiently managed through GIS software. By integrating various types of data such as soil properties, weather conditions, and crop performance, GIS software enables farmers to make data-driven decisions that can improve crop yields and reduce waste. This technology also supports variable rate application of inputs like fertilizers and pesticides, leading to cost savings and minimized environmental impact.

Government initiatives and subsidies promoting the use of advanced agricultural technologies are also contributing to the market's growth. Many governments worldwide are recognizing the potential of GIS software in improving agricultural productivity and are providing financial support to farmers and agribusinesses for the adoption of these technologies. These initiatives are particularly significant in developing regions where traditional farming methods are still prevalent. The support from governments helps lower the financial barriers for small and medium-sized enterprises, enabling broader adoption of GIS software in agriculture.

From a regional perspective, North America and Europe are leading the adoption of GIS software in agriculture due to the presence of advanced agricultural infrastructure and high levels of technological awareness among farmers. However, significant growth opportunities exist in the Asia Pacific region, where agriculture is a major economic activity. The increasing focus on sustainable farming practices and the need to enhance productivity to feed the growing population are driving the adoption of GIS software in this region. Latin America and the Middle East & Africa are also expected to witness growth, albeit at a slower pace, as the benefits of GIS technology in agriculture become more widely recognized.

Component Analysis

The GIS software in agriculture market can be segmented by component into software and services. The software segment holds a predominant share in the market due to the extensive use of various GIS applications in farming practices. GIS software assists in mapping, data analysis, and spatial data management, which are critical for precision agriculture. Advanced GIS software products come with features like real-time monitoring, predictive analytics, and integration with other agricultural technologies like drones and IoT sensors. These capabilities make GIS software indispensable for modern farming, thus driving its demand.

Services, which include consulting, implementation, and maintenance services, also play a vital role in the adoption of GIS technology in agriculture. Many farmers and agribusinesses lack the technical expertise to implement and utilize GIS software effectively. Service providers offer valuable support in terms of training, customization, and ongoing technical assistance, ensuring that users can fully leverage the benefits of GIS technology. Additionally, managed services are gaining popularity as they offer continuous monitoring and updates, ensuring optimal performance of GIS applications.

The integration of GIS software with other emerging technologies such as IoT, AI, and big data analytics i

The Download Tool is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. The tool provides easy download access to aerial imagery and lidar elevation collected during multiple flights.

GIS Collectors Market Outlook

The global GIS collectors market size was valued at USD 1.5 billion in 2023 and is projected to reach USD 3.2 billion by 2032, growing at a CAGR of 8.5% during the forecast period. This growth can be attributed to the rising demand for accurate geographic data collection and analysis across various industries. The drive towards digital transformation and the increasing adoption of advanced technologies in sectors like construction, utilities, and environmental monitoring are significant growth factors for this market.

One of the primary growth factors for the GIS collectors market is the increasing need for precise and reliable geographic data in urban planning and development. As cities expand and infrastructures develop, there is a growing demand for geospatial data to plan and manage urban regions effectively. GIS collectors provide accurate data collection, which facilitates better decision-making processes in urban planning. Moreover, the integration of GIS technology with other advanced technologies like IoT and AI is further enhancing its applicability and adoption in urban development projects.

The agriculture sector is also significantly driving the growth of the GIS collectors market. Precision farming techniques rely heavily on accurate geospatial data to monitor and manage agricultural fields effectively. GIS collectors enable farmers to collect and analyze data on soil health, crop conditions, and water availability, which helps in optimizing resources and improving crop yields. The increasing emphasis on sustainable farming practices and the need to meet the food demands of a growing global population are further boosting the adoption of GIS collectors in agriculture.

Additionally, environmental monitoring is emerging as a crucial application area, contributing to the market's expansion. With growing environmental concerns and the need for sustainable resource management, there is an increasing demand for technologies that can monitor and analyze environmental conditions efficiently. GIS collectors provide valuable data for tracking changes in land use, vegetation cover, and water resources, which is essential for conservation efforts and policy-making. The adoption of GIS collectors in environmental monitoring is expected to rise as governments and organizations focus more on environmental sustainability.

Regionally, North America is expected to dominate the GIS collectors market during the forecast period, owing to the early adoption of advanced technologies and significant investments in geospatial data infrastructure. The presence of major market players and extensive applications in urban planning, environmental monitoring, and agriculture are driving the market in this region. Furthermore, the Asia Pacific region is anticipated to exhibit the highest growth rate due to rapid urbanization, increasing government initiatives for smart cities, and rising demand for precision agriculture practices.

Product Type Analysis

The GIS collectors market is segmented by product type into handheld GIS collectors, mobile GIS collectors, and desktop GIS collectors. Handheld GIS collectors are portable devices that allow users to collect geospatial data on-site with ease. These devices are typically used in field surveys, environmental monitoring, and utility management. The demand for handheld GIS collectors is driven by their convenience, ease of use, and ability to provide real-time data collection in remote and challenging environments. As industries continue to prioritize field data accuracy and efficiency, the adoption of handheld GIS collectors is expected to grow significantly.

Mobile GIS collectors, often integrated with smartphones and tablets, offer enhanced flexibility and connectivity for geospatial data collection. These devices leverage mobile networks and cloud-based platforms to facilitate seamless data transfer and real-time analysis. The growing adoption of mobile GIS collectors can be attributed to the increasing reliance on mobile technology and the need for real-time data access and sharing. Industries such as transportation, utilities, and urban planning are increasingly deploying mobile GIS collectors to improve operational efficiency and decision-making processes.

Desktop GIS collectors, on the other hand, are primarily used for high-precision geospatial data collection and analysis in office environments. These devices are equipped with advanced software and processing capabilities, making them ideal for complex data analysis and large-scale projects. The deman

This study focuses on the use of citizen science and GIS tools for collecting and analyzing data on Rose Swanson Mountain in British Columbia, Canada. While several organizations collect data on wildlife habitats, trail mapping, and fire documentation on the mountain, there are few studies conducted on the area and citizen science is not being addressed. The study aims to aggregate various data sources and involve citizens in the data collection process using ArcGIS Dashboard and ArcGIS Survey 123. These GIS tools allow for the integration and analysis of different kinds of data, as well as the creation of interactive maps and surveys that can facilitate citizen engagement and data collection. The data used in the dashboard was sourced from BC Data Catalogue, Explore the Map, and iNaturalist. Results show effective citizen participation, with 1073 wildlife observations and 3043 plant observations. The dashboard provides a user-friendly interface for citizens to tailor their map extent and layers, access surveys, and obtain information on each attribute included in the pop-up by clicking. Analysis on classification of fuel types, ecological communities, endangered wildlife species presence and critical habitat, and scope of human activities can be conducted based on the distribution of data. The dashboard can provide direction for researchers to develop research or contribute to other projects in progress, as well as advocate for natural resource managers to use citizen science data. The study demonstrates the potential for GIS and citizen science to contribute to meaningful discoveries and advancements in areas.

Recognizing Montane Meadows and Quaking Aspen communities are a rare and valuable resource to plant and animal species in the Sierra Nevada, this project represents the beginning of a monitoring strategy for the conservation management of these ecosystems. The projects goals and objectives are to develop an accurate inventory of these systems, including high-resolution mapping and classification of community types, and surveys of selected terrestrial and aquatic animal species which depend on them. Other inventory related products include 360° photography, online survey reports and dynamic maps. In addition, refinements to electronic data collection tools and applications are provided to enhance future assessment programs.

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)